Priyanka Rawat
- Physiology top 10%
- Molecular Biology
- Pharmacology top 10%
- Neurology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- P. Hemachandra ReddyUjala SeharArubala P. ReddyAshley SelmanJohn CulbersonJonathan KopelJangampalli Adi PradeepkiranSudhir Kshirsagar
- Topics
- Alzheimer's disease research and treatments (8 papers)Dementia and Cognitive Impairment Research (4 papers)Cholinesterase and Neurodegenerative Diseases (3 papers)
- Journals
- International Journal of Molecular SciencesNeuroscience & Biobehavioral ReviewsAmerican Journal of Physiology-Cell Physiology
- Partner nations
- United StatesPoland
In The Last Decade
Priyanka Rawat
13 papers receiving 550 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Physiology 291
- Molecular Biology 179
- Pharmacology 94
- Neurology 93
- Cellular and Molecular Neuroscience 73
Countries citing papers authored by Priyanka Rawat
This map shows the geographic impact of Priyanka Rawat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Priyanka Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Rawat more than expected).
Fields of papers citing papers by Priyanka Rawat
This network shows the impact of papers produced by Priyanka Rawat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Priyanka Rawat. The network helps show where Priyanka Rawat may publish in the future.
Co-authorship network of co-authors of Priyanka Rawat
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Rawat. A scholar is included among the top collaborators of Priyanka Rawat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priyanka Rawat. Priyanka Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 21 | |
| 12 | Phosphorylated Tau in Alzheimer’s Disease and Other Tauopathiesbreakdown → | 250 |
| 13 | 22 | |
| 14 | Amyloid Beta in Aging and Alzheimer’s Diseasebreakdown → | 199 |
About Priyanka Rawat
Priyanka Rawat is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Physiology, having authored 14 papers that have together received 561 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (4 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Neurology (93 citations) and Physiology (291 citations). Priyanka Rawat has collaborated with scholars based in United States and Poland. Frequent co-authors include P. Hemachandra Reddy, Ujala Sehar, Arubala P. Reddy, Ashley Selman, John Culberson, Jonathan Kopel, Jangampalli Adi Pradeepkiran, Sudhir Kshirsagar, Annette Boles and Hafiz Khan. Their work appears in journals such as International Journal of Molecular Sciences, Neuroscience & Biobehavioral Reviews and American Journal of Physiology-Cell Physiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.